Evidence map›Paper›PMID 33937801›Full record

ArticleRadiology. Artificial intelligence2019

Neural Network-derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic Stroke.

Raphael Meier, Paula Lux, B Med, Simon Jung, Urs Fischer, Jan Gralla, Mauricio Reyes, Roland Wiest, Richard McKinley, Johannes Kaesmacher

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Artificial intelligence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Raphael MeierSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.ORCID 0000-0003-4632-0360
Paula LuxSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
B MedSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
Simon JungSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
Urs FischerSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
Jan GrallaSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.ORCID 0000-0003-1953-9033
Mauricio ReyesSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
Roland WiestSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.ORCID 0000-0001-7030-2045
Richard McKinleySupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.
Johannes KaesmacherSupport Center for Advanced Neuroimaging-University Institute of Diagnostic and Interventional Neuroradiology (R. Meier, P.L., J.G., R.W., R. McKinley, J.K.), Department of Neurology (S.J., U.F., J.K.), Institute for Surgical Technology and Biomechanics (M.R.), and Institute for Diagnostic, Interventional and Pediatric Radiology (J.K.), University Hospital Inselspital and University of Bern, Freiburgstrasse 4, 3010 Bern, Switzerland.ORCID 0000-0002-9177-2289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo perform a proof-of-concept study to investigate the clinical utility of perfusion maps derived from convolutional neural networks (CNNs) for the workup of patients with acute ischemic stroke presenting with a large vessel occlusion. MATERIALS AND

methodsData on endovascularly treated patients with acute ischemic stroke (

resultsStrong correlations of lesion volumes (Tmax > 4 seconds, > 6 seconds, and > 8 seconds;

conclusionCompared with standard deconvolution-based processing of raw perfusion data, automatic CNN-derived Tmax perfusion maps can be applied to patients who have acute ischemic large vessel occlusion stroke, with similar clinical utility.© RSNA, 2019

Identifiers

PMID33937801
PMCPMC8017390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.